{"id":"W3017168295","doi":"10.1021/acs.biomac.0c00347","title":"Injectable and Self-Healing Nanocomposite Hydrogels with Ultrasensitive pH-Responsiveness and Tunable Mechanical Properties: Implications for Controlled Drug Delivery","year":2020,"lang":"en","type":"article","venue":"Biomacromolecules","topic":"Hydrogels: synthesis, properties, applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":190,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Alberta Innovates; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canada Foundation for Innovation","keywords":"Self-healing hydrogels; Biocompatibility; Drug delivery; Nanocomposite; Self-healing; Chemistry; Controlled release; Wound healing; Drug; Nanotechnology; Materials science; Biomedical engineering; Polymer chemistry; Organic chemistry; Pharmacology; Surgery","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001467717,0.000310358,0.000106446,0.000145589,0.00006399071,0.0002291309,0.0001578563,0.0002968133,0.0007003974],"category_scores_gemma":[0.0001195342,0.0001357117,0.0001384842,0.00006198154,0.0001654646,0.000361211,0.0001355501,0.0002812052,0.0001729696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002004422,"about_ca_system_score_gemma":0.0001293848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001258438,"about_ca_topic_score_gemma":0.0002444753,"domain_scores_codex":[0.9999533,0.00000585522,0.000003319232,0.00001221092,0.00001405551,0.00001124717],"domain_scores_gemma":[0.9999254,0.00001524395,0.00002950372,0.0000041191,0.000009131296,0.00001645876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001904183,0.00001287482,0.00004205778,0.00004739988,0.000001794322,0.00002333272,0.000006204575,0.0001167826,0.9968174,0.000192348,0.00002466211,0.002696144],"study_design_scores_gemma":[0.000009948551,0.0001458818,0.0005473227,0.000004615093,0.00000774811,0.0001425274,0.000007775647,0.001699111,0.9952639,0.0001159907,0.00204735,0.000007777886],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.921886,0.01988335,0.05117097,0.0006965385,0.0001337873,0.00008235911,0.0004490743,0.0004897632,0.005208208],"genre_scores_gemma":[0.9729729,0.004256339,0.01932485,0.0001446909,0.00004897493,0.00004016476,0.0001496246,0.00004034273,0.003022168],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007003974,"threshold_uncertainty_score":0.002342999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01354272583127951,"score_gpt":0.2271279672364974,"score_spread":0.213585241405218,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}